Aegis School of Business, Data Science, Cyber Security & Telecommunication

Aegis School of Business, Data Science, Cyber Security & Telecommunication

Start date: May 23, 2021
End date: May 23, 2021
Type: Meetup
Event location: Online Live
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Data Science & ML in Medical & Healthcare: Use Case

Data Science, AI, ML, Analytics etc is rapidly growing and highly renumerating fields and occupations that is required and used almost all the industries of the world today.
Medical and healthcare are two of the most important part of our human lives. Traditionally, any treatment is solly dependent on Doctors' advice based on their researchs & practics.

However, this wasn’t always correct and was prone to human errors. However, with the advancements in computers and in particular, Data Science, it is now possible to obtain accurate diagnostic measures.

In this Live meet-up, we will understand "How Data Science Can be used in Healthcare Industry?, Particularly in Medical Imaging  

"Identifying Lungs inflammation using Maching Learning & Deep Learning"


📜  Agenda:

🔎 Overview & "Live Demo"
🔎 The idea and motivation behind coming up with this Project
🔎 What are the challenges faced during the project?
🔎 Which tools & technologies used?
🔎 Know how Automation of Data Science Tasks the Future? 
🔎 Know different dimentions of Data Science, AI, Analytics & its scope
🔎 Take away for the Data Science Career Aspirants, how to start their journey into Data Science, AI & Analytics? 
🔎 Q & A


🎯  Who should attend?

👉🏻 Those who are AI, Data Science, ML, Deep Learning Enthusiasts, Career Aspirants, and Practitioners. 
👉🏻 Those want to know, How Data Science, AI and Analytics Techniques are being used to solve Real-Life problems?"
👉🏻 Those who are ready
 to ride the new wave of the Fourth Industrial Revolution backed by Data Science, AI & Mordern Analytics?


This Meetup focuses on the practical verticals & use cases of Data Science, AI, ML.
  


🗓️  Venue & Date:
  Date: 23rd May 2021  (4:00PM to 5:00PM) 
  Day: Sunday
  Venue: Online Live over ZOOM - A link would be sent to the registered participants.